Nick Underhill
@nofnetwork
91,163
Followers
989
Following
66,013
Tweets
209.7
Avg Engagement
1,682
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @nick_underhill's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Mid-Tier (10K+)
- Account Age:2009-02-27
- Verification:No
- Location:New Orleans
Data Summary
- Tweets Analyzed:3,226
- Avg Likes per Tweet:132.7
- Avg Retweets per Tweet:77.0
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,226 tweetsHis tweets typically receive a high number of likes and retweets, indicating a loyal and active audience. The average engagement per tweet is substantial, reflecting a strong connection with followers.
132.7
Avg Likes/Tweet
77.0
Avg Retweets/Tweet
428,003
Total Likes
248,467
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
4
Median Retweets
147
75th Percentile
58,108
Top Tweet
2.3
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
25.4%
Original
48.2%
Replies
17.1%
Retweets
9.3%
Quotes
0.0%
Threads
0.3%
With Media
35.9%
With Links
3.6%
With #Tags
70.7%
With @Mentions
2.2%
With Emojis
112
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.9
Reply/Original Ratio
0.54
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
76.8%
Weekday Posts
23.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,226 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 553 retweets (17% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 3,226 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 10,999 followersHis audience appears to be interested in sports, particularly NFL and college football, as well as social media trends. The engagement suggests a community that values humor and candid commentary.
Average
Audience Quality
25.3%
Suspicion Index
34.5%
Low-Quality %
34
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.2%
Empty Bio
28.7%
<10 Tweets
11.9%
Mass Following (>2K)
0.0%
New (<90 days)
47.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.7%
No URL
19.8%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
18,010,486
Total Potential Reach
34
Median Follower Reach
168
75th Percentile Reach
5.9%
>1K followers
0.8%
>10K followers
0.3%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
49.4%
Creators
5,437 accounts
21.9%
Consumers
2,407 accounts
28.7%
Dormant
3,155 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
161
Verified Followers
1.46% of total
1,010
Protected Accounts
9.18% of total
5 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @AdamSchefter | 10,373,123 | Sports Journalist | NFL, Insider, Podcast |
| @IamMzilikazi | 551,493 | Musician | Pan-African music, Album, Rise |
| @Moreno | 430,786 | Influencer | Business, Manager, Serious |
| @phillyrob1 | 273,888 | Unknown | East Coast, Philly, Rob |
| @MeganMakinMoney | 198,072 | Content Creator | Jokes, bets, content |
| @sidneyrema | 197,296 | - | - |
| @THEREALESMITTY | 177,256 | Music Producer | Music production, engineering, business |
| @AllbrightNFL | 167,797 | Sports Analyst | Broncos, Reporter, Analyst |
| @thecoachtube | 159,474 | Sports coaching | sports, coaching, potential |
| @vaselysapunov | 131,612 | Musician | Music, Jesus, Truth |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,592
Followers With Bio
5,407
Followers Without Bio
50.84%
% With Bio
49.16%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,226 analyzed139,150
Combined Engagement
18,418
Total Likes
120,732
Total Retweets
27,830
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @jordonr: Update on Damar: His vitals are back to normal and they have put him to sleep to put a breathing tube down his throat. They are currently running tests. We will provide updates as we have them.
RT @BuffaloBills: https://t.co/4Fyd2JZVLb
RT @kaiirelam5: Our boy is doing better, awake and showing more signs of improvement. Thank you God. Keep the prayers coming please. All love 3!
@Chris_Grosse Already made this decision for life. The answer is 5.
Mike Thomas’ latest IG story https://t.co/sdHaM1ZR9A
Key Insights & Takeaways
He frequently shares sports-related content, especially involving NFL players and teams. His tweets often include personal opinions and humor, which resonate with his audience. He engages with other users and shares links to social media content, indicating a mix of personal and public interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 91,163
- + High community engagement through conversations
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @nick_underhill reveals an well-established Twitter presence with 91,163 followers. The account demonstrates a conversation-first approach, averaging 209.7 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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